MLSP-P84.5
Learning to Intervene: Optimized Soft Intervention Selection for Causal Discovery
Chen Peng, Sambit Mishra, Urbashi Mitra, University of Southern California, United States of America
Session:
MLSP-P84: Causal Learning and Inference Methods Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 9
Presentation Time:
Fri, 8 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P84
MLSP-P84.1: CAUSAL EFFECT ESTIMATION UNDER NETWORK INTERFERENCE WITH STATE SPACE MODELS
Yunxin Mao, Yishuai Cai, Zhaoye Li, Haotian Wang, Minglong Li, Wenjing Yang, Ji Wang, National University of Defense Technology, China
MLSP-P84.2: RMT-KD: RANDOM MATRIX THEORETIC CAUSAL KNOWLEDGE DISTILLATION
Davide Ettori, Nastaran Darabi, Sureshkumar Senthilkumar, Amit Ranjan Trivedi, University of Illinois Chicago, United States of America
MLSP-P84.3: TIME SERIES DECOMPOSITION AND FUSION-BASED GRANGER CAUSALITY NETWORK FOR NONLINEAR CAUSAL INFERENCE
Jiacheng Wei, Chunfeng Yang, Xiaojia Wang, Yudong Zhang, Southeast University, China; Wentao Xiang, Nanjing Medical University, China
MLSP-P84.4: CGNN+ : A GRAPH NEURAL INSTRUMENTAL VARIABLE FRAMEWORK FOR ROBUST CAUSAL INFERENCE IN NETWORKED DATA
Xiaojing Du, Wentao Gao, Xiongren Chen, Adelaide University, Australia; Zijian Zhang, University of Pennsylvania, United States of America; Hongyang He, University of Warwick, United Kingdom of Great Britain and Northern Ireland; Chunlei Meng, Fudan University, China; Yifan Guo, Adelaide University, Australia; Feiyu Yang, Civil Aviation Flight University of China, China
MLSP-P84.5: Learning to Intervene: Optimized Soft Intervention Selection for Causal Discovery
Chen Peng, Sambit Mishra, Urbashi Mitra, University of Southern California, United States of America
MLSP-P84.6: LEARNING DIRECTED ACYCLIC GRAPHS FROM MAX-TIMES STRUCTURAL EQUATION MODELS WITH SPARSE INPUT
Panagiotis Misiakos, Markus Püschel, ETH Zurich, Switzerland
MLSP-P84.7: SAMPLE WEIGHT AVERAGING FOR STABLE PREDICTION
Han Yu, Tsinghua University, China; Yue He, Renmin University of China, China; Renzhe Xu, Shanghai University of Finance and Economics, China; Dongbai Li, Jiayin Zhang, Tsinghua University, China; Wenchao Zou, Siemens China, China; Peng Cui, Tsinghua University, China
MLSP-P84.8: Robust Personalized Recommendation under Hidden Confounding in MNA
Zongyu Li, Guangdong University of Technology, China; Wanting Su, Chinese Academy of Sciences, China; Tianyu Xia, Peking University, China
MLSP-P84.9: FGAPA: FEATURE-GUIDED ADVERSARIAL PROTOTYPE ALIGNMENT FOR CROSS-DOMAIN FEW-SHOT HYPERSPECTRAL CLASSIFICATION
Zifei Zhao, Lingyu Kong, Xudong Sun, Xiaopeng Wang, the College of Computer Science and Technology, Qingdao University, China; Jiahua Zhang, the College of Computer Science and Technology, Qingdao University, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Xiaodi Shang, the College of Computer Science and Technology, Qingdao University, China
Contacts